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Intel Targets DAOS Object Storage At More Than HPC
Intel is looking to position itself as a leader in AI and HPC through a holistic approach that plays to the company’s strengths across a broad swath of the IT ecosystem. …
Search Results for "oil and gas"
AI
Aspiration Versus Action for Enterprise AI
Most of the large companies and institutions we cover here at The Next Platform have already been in the AI/ML trenches, particularly the hyperscale web and media companies (where much of this work began) and in high performance computing. …
HPC
Eni Chooses Utility Pricing For New HPC4+ Supercomputer
Here are two things you don’t see every day in the realm of scientific and technical high performance computing. …
HPC
Mixed Results With A64X Port for Seismic HPC
Seismic processing cloud infrastructure provider, DUG, has enough combined compute power to grace the leading ten systems on the Top 500 list of the world’s most powerful supercomputers, with around 30 petaflops for seismic processing, full waveform inversion, petrophysics, and other HPC applications in oil and gas via many of its own software packages. …
HPC
AI
Getting Industrial About The Hybrid Computing And AI Revolution
For oil and gas companies looking at drilling wells in a new field, the issue becomes one of return vs. …
AI
Inspur Rises On The Wave of AI Servers In The Datacenter
Machine learning techniques based on massive amounts of data and GPU accelerators to chew through it are now almost a decade old. …
AI
With $1 Billion in Hand, What’s Next for SambaNova?
We knew the day would come when an AI chip startup hit the $1 billion funding mark and so it has. …
Code
ConocoPhillips Sparks Tooling For Seismic HPC, Cloud, AI/ML
Seismic processing and analysis at scale take scalable HPC resources but also need an analytics backend that can scale with massive datasets. …
AI
Changes Go Far Beyond Just AI, Machine Learning
SPONSORED SambaNova Systems is a technology startup founded in 2017 by a group of far-sighted engineers and data scientists who saw that the current approaches to AI and machine learning were beginning to run out of steam, and that an entire new architecture would be necessary in order to make AI accessible for everyone as well as deliver the scale, performance, accuracy and ease of use needed for future applications. …